Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ivan De Jesus Rivas Cambero"'
Autor:
Francisco Beltran-Carbajal, Juan Eduardo Esquivel-Cruz, Hugo Yañez-Badillo, Ivan de Jesus Rivas-Cambero, David Sotelo, Carlos Sotelo
Publikováno v:
Mathematics, Vol 11, Iss 13, p 2838 (2023)
An on-line estimation technique of multiple-frequency oscillatory forces combined with the Hilbert–Huang transform for an important class of actively controlled, forced vibrating mechanical systems with nonlinear stiffness forces is proposed. Polyn
Externí odkaz:
https://doaj.org/article/fafd3527832648cba7c567400ac1f5db
Autor:
Sotelo, Francisco Beltran-Carbajal, Juan Eduardo Esquivel-Cruz, Hugo Yañez-Badillo, Ivan de Jesus Rivas-Cambero, David Sotelo, Carlos
Publikováno v:
Mathematics; Volume 11; Issue 13; Pages: 2838
An on-line estimation technique of multiple-frequency oscillatory forces combined with the Hilbert–Huang transform for an important class of actively controlled, forced vibrating mechanical systems with nonlinear stiffness forces is proposed. Polyn
Autor:
Sergio Ivan Morga Bonilla, Daniel Galvan Perez, Ivan De Jesus Rivas Cambero, Jacinto Torres Jimenez
Publikováno v:
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
Autor:
Hugo David Lozano Rodriguez, Ivan de Jesus Rivas Cambero, Jose Humberto Arroyo Nunez, Clementina Rueda German
Publikováno v:
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
Autor:
Clementina Rueda Germán, Iván de Jesús Rivas Cambero, Hossam A. Gabbar, José Humberto Arroyo Núñez
Publikováno v:
Ingeniería e Investigación, Vol 41, Iss 1, Pp e84955-e84955 (2021)
Synchrony plays a major role in the interconnection process between local electric power generation systems and the electrical grid. Grid phase disturbances prevent the generation system from maintaining synchrony. Therefore, an efficient phase track
Externí odkaz:
https://doaj.org/article/2a95d3b4ae6743388766f926e86687eb
Publikováno v:
Nova Scientia, Vol 11, Iss 22 (2019)
This paper presents a controller performance that is develop employing an adaptive B-spline neural network algorithm for adjusting the rotor speed of the permanent magnet synchronous motor. It includes a comparative analysis with three control strate
Externí odkaz:
https://doaj.org/article/6ebf34db4b8b4918b764aaaa2edd63fe